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Creative Brain Learning Jobs in California (NOW HIRING)

Nvidia

Senior Software Engineer, AI Storage

Santa Clara, CA

$143K - $189K/yr

... learning - the next era of computing - with the GPU acting as the brain of computers, robots, and ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

Nvidia

Senior Circuit Design Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... learning ignited modern AI - the next era of computing - with the GPU acting as the brain of ... We will have creative new insights to support existing tools and flows and develop new simulations ...

Nvidia

Senior Circuit Design Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... learning ignited modern AI - the next era of computing - with the GPU acting as the brain of ... Provide creative new insights to support existing tools and flows and develop new simulations to ...

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Creative Brain Learning information

What is Creative Brain Learning?

Creative Brain Learning refers to an educational approach and program that focuses on enhancing students’ critical thinking, problem-solving, and creative skills through hands-on learning experiences. It often encompasses activities in STEM (Science, Technology, Engineering, and Mathematics), arts, music, and other creative disciplines to help learners develop cognitive flexibility and innovative thinking. Programs under Creative Brain Learning are designed for various age groups and can be found in after-school enrichment classes, workshops, and summer camps. The goal is to nurture curiosity and lifelong learning abilities in participants.

What are the key skills and qualifications needed to thrive as a learning and development specialist, and why are they important?

To thrive as a Learning and Development Specialist, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools, Learning Management Systems (LMS), and relevant certifications such as CPLP or ATD are typically required. Strong communication, creativity, and organizational skills help to engage learners and effectively deliver training programs. These skills are crucial for designing impactful learning experiences that drive employee growth and organizational success.

What is the difference between Creative Brain Learning vs Creative Director?

AspectCreative Brain LearningCreative Director
CredentialsTypically requires education in education, psychology, or related fields; certifications in teaching or training are commonRequires experience in creative fields, often with a background in design, advertising, or media; a portfolio is essential
Work EnvironmentEducational settings, training centers, online platformsAdvertising agencies, media companies, corporate offices
Industry UsageEducation, training, e-learningAdvertising, marketing, media production

Creative Brain Learning focuses on developing educational content and training programs to enhance cognitive skills, often within educational or online platforms. In contrast, a Creative Director oversees creative projects, manages teams, and guides the visual and conceptual direction of campaigns or media productions. While both roles require creativity, their environments, credentials, and industry applications differ significantly.

What are some common challenges faced by professionals in Creative Brain Learning roles and how can they be addressed?

Professionals in Creative Brain Learning roles often face the challenge of adapting educational strategies to diverse learning styles and needs. Balancing creativity with curriculum standards and ensuring measurable learning outcomes can also be difficult. To address these challenges, successful team members collaborate closely with educators, continually update their knowledge of cognitive and educational research, and employ flexible, student-centered approaches. Regular communication with colleagues and ongoing professional development are key to overcoming these obstacles and fostering a dynamic, supportive learning environment.

What are popular job titles related to Creative Brain Learning jobs in California?

For Creative Brain Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Creative Brain Learning jobs in California look for?

The top searched job categories for Creative Brain Learning jobs in California are:

What cities in California are hiring for Creative Brain Learning jobs?

Cities in California with the most Creative Brain Learning job openings:

Creative Brain Learning jobs near you
Infographic showing various Creative Brain Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Circuit Design Engineer - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now hiring for a Circuit Design Engineer for Standard Cell and/or ROM. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our company and teams with the best people in the world. We're rapidly growing our research and development for Inference. We specialize in developing GPU-accelerated Deep Learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in Deep Learning and enabling breakthroughs in numerous areas.
What you will be doing:
  • Work on the cutting edge standard cell libraries and/or custom ROM (Read Only Memory) modules in deep submicron technologies.
  • Drive the concepts of the transistor level standard cell circuit design, modeling and performance analysis process.
  • Lead the function/feasibility verification of new ROM designs and the setup of new design flows.
  • Provide creative new insights to support existing tools and flows and develop new simulations to perform design margin evaluations.
  • Collaborate with cross function teams with regards to standard cell design improvement opportunities. We will improve on our quality checks on the libraries.

What we need to see:
  • MS in Electrical or Computer Engineering (or equivalent experience).
  • We are looking for strong background in deep submicron process issues.
  • Deep understanding of the design and verification of standard cell libraries and/or custom ROMs.
  • Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools.
  • Experience with running EM/IR, aging, noise, margin, and high sigma variation simulations.
  • Hands-on experience of DRC/LVS debug.
  • Experience of designing flip flops, level shifters, math cells and/or custom ROMs, register files, SRAM.
  • Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus.
  • Excellent teamwork, communication and analytical skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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